Measures of Disease in Clinical Epidemiology

# Measures of Disease in Clinical Epidemiology 
## <hr />
### Brendan J. Kelly
### Infectious Diseases & Epidemiology <img src="data:image/svg+xml;base64,<?xml version="1.0" encoding="UTF-8" standalone="no"?>
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### updated: 2020-04-14

---

## Disclosures <hr/>

- No conflicts of interest.

- Too many topics covered.

- May contain GIFs.

---

## Learning Objectives <hr/>

- How we measure: describe types of data and data distributions.

- Measures of disease occurrence: use population data in the description of health and disease.

- Key concepts -- explain the meaning of:

- prevalence
 - incidence (<ins>warning</ins>: multiple types)
 - relative risk (RR)
 - odds ratio (OR)

- Implementation: calculate prevalence, incidence, RR, and OR from study data (2x2 tables!).

---

## Why Do I Care? ... <hr/>

- Why use these tools (prevalence, incidence, RR, OR)?

- inform differential diagnoses & counsel patients (<ins>your job</ins>) 
 
 - design public health interventions & direct new diagnostics/therapies (society!) 
 
 - understand distributions and determinants of diseases (science!)

---

## ... What Do I Need to Know for the Test? <hr/>

- How to use these tools:

- precise definitions 
     (e.g., RR vs OR, cumulative incidence vs incidence density)  
     
     - a bit of arithmetic

---
class: inverse, center, middle

# A case from 1981...

---
exclude: TRUE

???

Image credit: [GIPHY](https://gph.is/1AUItZt)

---

## A case from 1981... <hr/>

- 36-year-old man presents with a 4-month history of fever, dyspnea, and cough.

---

???

Image credit: [MMWR](https://www.hiv.gov/hiv-basics/overview/history/hiv-and-aids-timeline)

---

## MMWR June 5, 1981 <hr/>

.pull-left[
_All the above observations suggest the possibility of a cellular-immune dysfunction related to a common exposure that predisposes individuals to opportunistic infections such as pneumocystosis and candidiasis. Although the role of CMV infection in the pathogenesis of pneumocystosis remains unknown, the possibility of_ P. carinii _infection must be carefully considered in a differential diagnosis for previously healthy homosexual males with dyspnea and pneumonia._

- Gottlieb MS et al <ins>MMWR</ins> 1981

]

---

## A case from 1981... _Pneumocystis_ pneumonia? <hr/>

- 36-year-old man presents with a 4-month history of fever, dyspnea, and cough.

- What do you want to know and why?

- history
    - vital signs
    - physical exam
    - laboratory test values
    - radiology

- What is his diagnosis? Does he have _Pneumocystis_ pneumonia?

---

## A case from 1981... _Pneumocystis_ pneumonia? <hr/>

- Differential diagnosis must be grounded in understanding:

- distributions of disease: we'll learn about **prevalence** & **incidence** 
 
 - determinants of disease: we'll learn **2x2 tables** to relate exposures and outcomes 
 
- In 1981, _Pneumocystis_ was known to be a low <ins>prevalence</ins> disease.

- New data would show an increasing <ins>incidence</ins>. (In ID, the differential is always evolving).

---

## A case from 1981... _Pneumocystis_ pneumonia? <hr/>

- Does our patient have _Pneumocystis_ pneumonia?

- How is the distribution of _Pneumocystis_ pneumonia changing?

- What are the determinants of _Pneumocystis_ pneumonia?
 
 
 
 Note: questions depend on dichotomous definition of disease (yes/no Pneumocystis)

---
class: inverse, center, middle

# Data Types & Data Distributions

---

## Data Types <hr/>

- Vital signs and physical exam:

- temperature (degrees) - continuous
    - heart / respiratory rate (beats or breaths / min) - continuous
    - oxygen saturation (%) - continuous

- Laboratory values:

- white blood cell count (cells / uL) - continuous
    - *if it weren't 1981... CD4 cell count (cells / uL) and HIV viral load (copies / mL) - continuous*

- Radiology:

- ground glass - dichotomous

---

## Data Types <hr/>

- __Dichotomous__: history of diabetes, history of breast cancer; survival, pneumonia, MI

- __Continuous__: age, height, weight, blood pressure; probability of treatment result

- __Nominal__: race, ethnicity, state of residence

- __Ordinal__: age category, weight category; patient satisfaction
  
  
  
---

## Characterizing Continuous Data: Normal <hr/>

- "Normally distributed" data are well characterized by their mean and standard deviation.

- **mean ( `$\mu$`)**:
`$$\mu=\frac{1}{N}\sum_{i=1}^Nx_i$$`

- **standard deviation (SD or `$\sigma$`)**:
`$$\sigma=\sqrt{\frac{1}{N}*\sum_{i=1}^N(x_i - \mu)^2}$$`
 
 
 
 (you do NOT need to memorize these formulas)

---

## Characterizing Continuous Data: Normal <hr/>

---

## Reflection Question <hr/>

What makes standard deviation greater?

- (A) More subjects?

- (B) Higher mean value?

- (C) Higher maximum value?

- (D) Greater difference between extreme and mean values?

---

## Characterizing Continuous Data: Skewed or Uniform <hr/>

- “Non-parametric” data have a mean and standard deviation, but these parameters do NOT characterize the data well:

- **skewed** data: distrubtion not symmetric around a central value  
    
    - **uniform** data: distributed with equal probability of each value across whole range of values

- For "non-parametric" data, we prefer to use **median** and **interquartile range (IQR)** to describe the distribution of a continuous variable because these are less affected by extreme values. 
  
- For normal data, mean and median have the same value.

---

## Characterizing Continuous Data: Skewed or Uniform <hr/>

---

## Characterizing Continuous Data <hr/>

- Median and mode depend on ranking the values:

- median is the “middle value” when data are ordered / ranked 
    - mode is most frequently occurring value

- Interquartile range (IQR) also depends on ranking the values:

- the first quartile is the "middle" value of the first half of the ordered set
    - the third quartile is the "middle" value of the second half of the ordered set
    - IQR is the range of values between first and third quartiles

---

## Reflection Question <hr/>

Which is least affected by outliers?

- (A) Mean?

- (B) Median?

- (C) Mode?

---

## How to Characterize Continuous Data <hr/>

- Pair a measure of central tendency with a measure of dispersion:

- mean and SD (both affected by outliers)  
    
    - median and IQR

- In doing so, account for <ins>uncertainty</ins> in measures.

---

## Dichotomizing Continuous Data <hr/>
 
- Remember the diagnosis lecture: threshold of oxygen saturation (or \beta-D glucan) to diagnose _Pneumocystis_ pneumonia means trade-off between sensitivity and specificity.

- Using a threshold to transform continuous data into dichotomous data means losing information about uncertainty.

- This is on top of the fundamental uncertainty we face with any epidemiologic measure: does the measured population represent the population of interest?  
  
  
---

## Dichotomania <hr/>

- As we discuss prevalence, incidence, RR, and OR, we will focus on <ins>dichotomous</ins> exposures and outcomes.

- Remember -- with dichotomous data:

- information about uncertainty is lost  
    
    - misclassification is a risk

- But we're doing it anyway &#x1F600; ... why?

- Medicine focuses on dichotomous diagnostic and treatment decisions.

---
class: inverse, center, middle

# Measures of Disease Occurrence: Prevalence

---

## Prevalence <hr/>

- How common is _Pneumocystis_ pneumonia?

- Prevalence:

- number with the disease / number in specified population 
 
 - **point prevalence**: at a specific point in time 
 
 - **period prevalence**: during a given period (e.g., 12-month prevalence) 
 
 - a proportion (unitless, ranges from 0-1) 
 
 - numerator includes all people who have the disease, both new and ongoing cases 
 
 - represents a <ins>cross-sectional</ins> “snapshot” of the population

---

## Prevalence of _Pneumocystis_ pneumonia <hr/>

- In 1967, CDC became the sole supplier of pentamidine in the United States and began collecting data on cases of PCP:

- period prevalence published in 1974*: 579 cases (194 confirmed) over 3 years
 - what’s the denominator?
 - what’s the prevalence?

- __Point prevalence__ of _Pneumocystis_ would be vanishingly small given limited duration of disease.

- From 1967-1974, even the __period prevalence__ was very small.

---

## Point Prevalence versus Period Prevalence <hr/>

- To understand the difference between point and period prevalence, let's imagine a cohort of people living with HIV/AIDS at risk for _Pneumocystis_:

- 50 high-risk subjects enrolled at the start of a two-year observation period  
    
    - cases of PCP each receive 3 weeks of antibiotic treatment (red dots and lines on plot)  
    
    - incomplete follow-up (abbreviated grey lines on plot)
    
    - towards end of study, some subjects started on _Pneumocystis_ prophylaxis (blue lines on plot)

---

## Cohort at Risk for _Pneumocystis_ <hr/>

---

## Cohort at Risk for _Pneumocystis_: Point Prevalence <hr/>

---

## Cohort at Risk for _Pneumocystis_: Period Prevalence <hr/>

---

## Prevalence <hr/>

- Prevalence is **NOT** the same as risk.

- Prevalence numerator includes all people who have the disease, both new and ongoing cases, so represents a cross-sectional “snapshot” of the population.

- Prevalence does **NOT** estimate the risk of developing the disease because prevalence does **NOT** fully account for time (are the measured cases old cases or new cases?).

---

## Reflection Question <hr/>

How can an infection have high prevalence if it occurs infrequently?

- (A) the infection is rapidly fatal

- (B) the infection rapidly resolves

- (C) a few children get the infection every year, but the infection persists for the rest of their lives

- (D) the infection results in lifelong protective immunity

---
class: inverse, center, middle

# Measures of Disease Occurrence: Incidence

---

## A case from 1981... _Pneumocystis_ pneumonia? <hr/>

- new _Pneumocystis_ cases (NYC1): 13 cases over 21 months

- new _Pneumocystis_ cases (LA2): 5 cases over 7 months

- concurrent opportunistic infections:

- CMV
    - _Candida_
    - Kaposi's sarcoma

]

---

## Incidence <hr/>

- Among MSM, _Pneumocystis_ pneumonia is occurring more frequently...

- Incidence: occurrence of new cases over a given period of time.

- **cumulative incidence**:

`$$cumulative\ incidence = \frac{{new\ cases}}{population\ at\ risk\\at\ start\ time\ interval}$$`

- **incidence density**: (more precise)

`$$incidence\ density = \frac{new\ cases}{person\ time\\at\ risk}$$`

---

## Cumulative Incidence <hr/>

- Cumulative incidence:

- must specify population consisting of at-risk individuals 
 
 - must specify a time period of observation 
 
 - <ins>numerator</ins> = all new cases during a specified time period 
 
 - <ins>denominator</ins> = all individuals at risk in the specified population at the start of the specified time period (does NOT account for deaths due to other causes) 
 
 - ranges from 0 to 1 (a.k.a., “incidence proportion”) 
 
 - like prevalence, is a proportion and therefore has no units (but only makes sense if you specify the time period of observation, e.g., % per year)

---

## Incidence Density <hr/>

- Incidence density:

- in a specified population consisting of at risk individuals over a specified period of observation, more precisely quantifies the person-time at risk 
 
 - <ins>numerator</ins> = all new cases during a specified time period 
 
 - <ins>denominator</ins> = the sum, over all individuals in the population, of time at risk until the event of interest, death, loss to follow-up, the end of the study, or when they are no longer at risk for whatever reason 
 
 - not a proportion; range depends on the units of person-time (0 to infinity) 
 
 - accounts for death from other causes!

---

## Incidence: Which Denominator? <hr/>

- To understand the difference between cumulative incidence and incidence density, let's return to our imagined study of people living with HIV/AIDS at risk for _Pneumocystis_:

---

## Cohort at Risk for _Pneumocystis_ <hr/>

---

## Cohort at Risk for _Pneumocystis_: Cumulative Incidence (at risk at start) <hr/>

---

## Cohort at Risk for _Pneumocystis_: Incidence Density (person-time at risk) <hr/>

---

## Incidence: Which Denominator? <hr/>

- cumulative incidence of _Pneumocystis_ versus incidence density:

- if the end of the grey line is death / loss to follow-up, how does incidence density compare to annual cumulative incidence?

- if you don’t count time on prophylaxis or treatment antibiotics as “time at risk”, how does the incidence density compare to the annual cumulative incidence?

---

## Notes on Population at Risk <hr/>

- In a population, individuals are at risk of disease if they:

- (1) do not have the disease at baseline  
    
    - (2) are capable of developing the disease(e.g., have the organ of interest; have not been successfully immunized against the disease;haven’t developed lifelong immunity)

- The difference between cumulative incidence and incidence density is that the latter attempts a more precise quantification of population at risk -- it’s harder to evaluate, but more informative if you can.

---

## Notes on Person-Time <hr/>

- To improve precision of risk estimate (<ins>incidence density</ins>), we measure:

- population at risk of outcome  
    
    - actual time at risk (during which outcome could occur)

- **Person-time**:

- denominator for incidence density  
    
    - the product of population at risk and time at risk (e.g., patient-months)

---

## Beware the Phrase “Incidence Rate”! <hr/>

- “Incidence rate” is used to mean two different things:

- number new cases / number population at risk @ start (short) time interval (e.g., “annual incidence rate” to mean cumulative incidence over one year)  
    
    - number new cases / person-time at risk (i.e., incidence density, the precise rate)

---
exclude: TRUE

---

## Reflection Question <hr/>

Your patient with HIV is considering starting prophylactic antibiotics for PCP. You have PCP prevalence, cumulative incidence, and incidence density data available. Which data provide the most precise information on the patient’s risk of PCP off of prophylaxis?

- (A) prevalence

- (B) cumulative incidence

- (C) incidence density

---
class: inverse, center, middle

# Measures of Disease Occurrence: Prevalence vs Incidence

---

## Prevalence vs Incidence <hr/>

- Can you tell prevalence from incidence?

---

---

## Prevalence vs Incidence <hr/>

- Can you tell prevalence from incidence?

- pancreatic cancer versus leukemia:

- new cases per year: pancreatic 24,120; leukemia 23,370
    - deaths per year: pancreatic 19,850; leukemia 10,240
    - which is more prevalent?

- HIV in Rakai, Uganda 1994-2003*:

- intensive “ABC” intervention (Abstinence, Be faithful, Condoms)
    - prevalence declined, but incidence remained constant at 1.5% per year
    - what happened?

---
class: inverse, center, middle

# We're not done yet...

---
exclude: TRUE

---
class: inverse, center, middle

# ... and coming now are the formulas you really need to know...

---
exclude: TRUE

---

# Inference from Epidemiologic Measures

---

## Basics of Study Types <hr/>

- We want to understand the relationship between risk factors (exposures) and disease (outcomes). For example, between CD4 count and PCP in HIV.

- To calculate incidence need to know how many are in a population:

- randomized trials: pick the population, randomize, control the treatment, and measure the outcome  
    
    - cohort studies: pick the population, divide into preselected exposure (treatment or risk factor) groups, and measure the outcome

- But do NOT know this generally in case control studies: pick the cases and control groups, then measure rates of exposure (do NOT know how many in population at risk).

---

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---

## 2x2 Table <hr/>

- Examine relationships between exposures and outcomes. <ins>Goal</ins>: inference about larger world.

- Caution!!!

- need to know whether study is <ins>RCT/cohort vs case-control</ins>
 - can always calculate a <ins>relative risk (RR)</ins> from 2x2 table but only appropriate for <ins>RCT/cohort</ins>
 - can always calculate an <ins>odds ratio (OR)</ins> from 2x2 table but only appropriate for <ins>case-control study</ins> (can do better with RR if RCT/cohort)
]

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" 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]

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## 2x2 Table: Calculate Relative Risk for Cohort/Trial <hr/>

`$$RR = \frac{\frac{A}{(A + B)}}{\frac{C}{(C + D)}}$$`

- Risk difference (RD): risk (incidence) exposed - risk (incidence) unexposed:

`$$RD = \frac{A}{(A + B)} - \frac{C}{(C + D)}$$`

]

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## _Pneumocystis_ ~ CD4 Cell Count: Relative Risk (RR) <hr/>

- Imagine a cohort study examining incidence (risk) for _Pneumocystis_ among patients with low vs high (dichotomous) CD4 cell counts:

- Relative Risk (RR):

`$$RR = \frac{\frac{10}{(10 + 10)}}{\frac{5}{(5 + 15)}} = \frac{0.5}{0.25} = 2$$`

- Risk difference (RD):

`$$RD = \frac{10}{(10 + 10)} - \frac{5}{(5 + 15)} = 0.25$$`

]

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<img 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" 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]

---

## 2x2 Table: Calculate NNT for Cohort/Trial <hr/>

- Risk difference (RD): risk (incidence) exposed - risk (incidence) unexposed:

`$$RD = \frac{A}{(A + B)} - \frac{C}{(C + D)}$$`

- Number needed to treat (NNT): given RD between exposures, how many exposure switches needed to change one outcome:

`$$NNT = \frac{1}{RD} = \frac{1}{\frac{A}{(A + B)} - \frac{C}{(C + D)}}$$`

]

---

## _Pneumocystis_ ~ CD4 Cell Count: Number Needed to Treat (NNT) <hr/>

- Cohort study examining incidence (risk) for _Pneumocystis_ among patients with low vs high (dichotomous) CD4 cell counts:

- Risk difference (RD):

`$$RD = \frac{10}{(10 + 10)} - \frac{5}{(5 + 15)} = 0.25$$`

- Number needed to treat (NNT): given RD between exposures, how many exposure switches needed to change one outcome:

`$$NNT = \frac{1}{RD} = \frac{1}{\frac{10}{(10 + 10)} - \frac{5}{(5 + 15)}} = \frac{1}{0.25} = 4$$`

]

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<img 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" width="360" style="display: block; margin: auto;" />
]

---

## Absolute Risk (AR), Risk Difference (RD) & Number Needed to Treat (NNT) <hr/>

- **absolute risk (AR)**: risk of developing a given disease over a period of time

- this is the incidence!!!
    - if you have a 1 in 10 chance of developing skin cancer in your lifetime, you are said to have a 10% absolute risk

- **risk difference (RD)**: difference in risk between the treatment/exposure group and the control group

- if 3 in 10 are cured in the treatment group and 2 in 10 in the control group, the RD is 3/10 – 2/10 = 10%

- **number needed to treat (NNT)**: number of patients who need to be treated for one person to benefit from the treatment  (= 1/RD)

- using RD numbers above, NNT = 1/RD = 1/0.1 = 10 (treat 10 people to cure one additional person)

---

## 2x2 Table: Calculate Odds Ratio for Case-Control Study <hr/>

- Denominators are deceptive in case-control study because determined by investigator.

- Impossible to measure true risk/incidence. Instead, measure exposure odds in cases & controls.

- Odds Ratio (OR): odds exposure in cases / odds exposure in controls:

`$$OR = \frac{\frac{A}{C}}{\frac{B}{D}} = \frac{A*D}{B*C}$$`  
]

---

## _Pneumocystis_ Cases vs Controls: Odds Ratio (OR) <hr/>

- Imagine a different study: 100 _Pneumocystis_ cases and 100 controls; measure whether 'low CD4' (exposure) differs between groups chosen by investigator.

- Odds Ratio (OR): odds exposure in cases / odds exposure in controls:

`$$OR = \frac{\frac{90}{10}}{\frac{50}{50}} = \frac{90*50}{50*10} = 9$$`  
]

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<img 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" width="360" style="display: block; margin: auto;" />
]

---

## Utility of Odds Ratio (OR) & Case-Control Study Design <hr/>

- Because ratio of cases and controls determined by investigator, not valid to calculate incidence of outcome (AR or RR, RD, NNT), but if outcome incidence is low, then A + B ~ B & C + D ~ D:

`$$RR = \frac{\frac{A}{(A + B)}}{\frac{C}{(C + D)}} \sim \frac{\frac{A}{B}}{\frac{C}{D}} = \frac{A*D}{B*C} = \frac{\frac{A}{C}}{\frac{B}{D}} = OR$$`

- OR approximates RR if outcome occurs infrequently (<15%). Though OR is fundamentally different from RR, we use it as an approximation of RR.

- If outcome is more common, OR will differ increasingly from RR.

]

---

# Conclusions

---
exclude: TRUE

---

## Measures of Disease in Clinical Epidemiology <hr/>

- Distribution of data determines how we describe them: mean and SD vs median and IQR.

- Prevalence is determined by incidence and survival time.

- Incidence density best accounts for time at risk for disease.

- Relative risk (RR) is the ratio of incidence in exposed over incidence in unexposed. Odds ratio (OR) is the ratio of exposure odds in cases over exposure odds in controls.

- OR approximates RR when outcome is rare.

- NNT can be a clinically useful number.

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![an image](figs/Wickramasekaran_Mycoses_2017.jpg)

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